reconstruct_FFT - Upsampling and Interpolation
Reconstruction of Original Signal based on Samples.
Upsampling including ideal lowpass filtering by FFT.
For ideal reconstruction, measurement interval must be
an integral multiple of periodicity of input signal!
Input arguments
Required
1. Time vector (equally spaced)
2. Sample vector (same length as time vector)
Optional Name-Value pairs
- 'Factor', N [positive integer] (default: 100)
Output will have N time as much samples as input.
- 'Plot', [logical] (default: false)
Plots spectrum of intermediate signals.
Or call reconstruct_FFT() without any arguments to view an example.
Example:
F_s = 5; % Sampling frequency
f0 = 2; % Signal frequency
time = 0:1/F_s:2-1e-12; % Time vector
samples = cos(2*pi*f0*time); % Signal vector
[ time_rec, samples_rec ] = reconstruct_FFT( time,samples );
figure; stem(time,samples); hold on; plot(time_rec, samples_rec);
Zitieren als
Daniel Frisch (2024). reconstruct_FFT - Upsampling and Interpolation (https://www.mathworks.com/matlabcentral/fileexchange/57651-reconstruct_fft-upsampling-and-interpolation), MATLAB Central File Exchange. Abgerufen .
Kompatibilität der MATLAB-Version
Plattform-Kompatibilität
Windows macOS LinuxKategorien
- Signal Processing > Signal Processing Toolbox > Digital and Analog Filters > Multirate Signal Processing >
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Live Editor erkunden
Erstellen Sie Skripte mit Code, Ausgabe und formatiertem Text in einem einzigen ausführbaren Dokument.
Version | Veröffentlicht | Versionshinweise | |
---|---|---|---|
1.0.0.0 | Image change. |